Journal archive
IT business |
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Business information systems |
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The purpose of this paper is to present the architecture of the CRM system that uses Web Mining
techniques and the principles of adaptive management. Adaptive model of customer relationship management
in the Web CRM system based on Web Mining technologies is represented in the following
form. The core of the CRM system is an adaptive website, based on dynamic analysis of the web resources
information usage in order to modify the web site ontology and its personalization to improve
user interaction. The system uses online methods to capture useful information from user log file data
and browsing pages to analyze customers’ behavior, their preferences regarding different groups of
goods and services of the company. The obtained data are structured using the cluster analysis, classification,
and association rule mining in order to determine groups of customers and prospects with
similar characteristics and behavior. Based on this analysis valuable consumer segments are determined
according to the current customer value. For each group of customers system forms the most effective
strategy for interaction. To develop adaptive strategies for interacting with customers the proposed
model uses the self-organizing learning algorithms. As a result, when using an adaptive approach in
Web CRM system forms a closed loop feedback, which allows in real time to adjust the strategy of interaction
with customer according to his current preferences and constraints.
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Though for the last years «cloudy» services gained popularity at the enterprise. Providers offers
many various models of cloud computing, for example IaaS, PaaS, SaaS, but often don’t give proof
why cloud services implementation in the company make more effectiveness business. This article
discusses whysome enterprises have different costs, even when other conditions are equal and how
company can use cloud service for rise goodwill value. Discusses there are many methods for determination
of the goodwill value, but none of them has not been adopted in the Russian legislation yet.
Reveals differences in the approaches to assessing the business reputation of the company and determined
the optimal cloud service pricing model, taking into account the company’s needs in intangible
assets. We investigate different models for assessing the effectiveness of cloud services in the company.
Is developing a model for the adoption of decisions on the use of cloud services in the period
of limited resources by capital rationing. The basic points in the method of effective implementation
of cloud services in the company.
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IT management |
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Resource management |
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A technology of base indicators complex forecasting of transportation process of railway transport
based on statistical and expert information using scenario approach have been developed. The cargo
turnover and cargo transportation volume have been selected as base indicators. Complex forecasting
based on four individual values with different weights: а) the value, which has been obtained by the
first-order model; b) the value, which has been obtained by the first-order model; c) the value, which
was obtained by the factor model; e) the point expert estimate of qualified specialists group. Developed
algorithms and software using statistical and expert information of Ulan-Bator Railway in relation to
the loading of goods have been approbated. It shows the good practical accuracy of complex forecasting
based on the scenario approach.
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Spacecrafts constellation increasing and using few-point its control technology cause increasing
workload of both control facilities and planning department, which allocates these facilities. It is necessary
to timely predict of the situation of allocation control facilities for spacecrafts to compensate
these factors. The factors influenced on evaluated parameters of the situation of allocation control facilities
for spacecrafts and their influence are analyzed. The main parameters of the situation are discussed.
It is shown that the workload of planning department depends a lot from a number of conflicts
during allocation control facilities for spacecrafts. The model of prediction workload of planning department
was developed and implemented in MatLAB. The description of its unites is given. A series
of model experiments was performed. Some numeric probabilistic characteristics of workload of
planning department were obtained. So, the number of conflicts increasing progressively during increasing
the number of spacecrafts. The largest number of conflicts is observed at the least number
of control facilities. Note that the number of conflicts can vary significantly for the same number of
spacecrafts and control facilities. However, the trend of progressive growth of the number of conflicts
during increasing the number of spacecrafts is still preserved. In general case, the probability density
of the number of conflicts tends to the normal distribution law.
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IT and education |
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Educational environment |
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Allocation of resources difficult and time-consuming process, requiring much labor. Even if the
number of resources in a few hundred or a thousand difficulties arise with manual allocation taking
into account the workload of all the objects, their qualitative agreement distributed objects. One of
the problems of resource allocation is a problem in the application to optimize the educational process
on the qualitative and quantitative indicators characterizing the process. The formalization of discrete
resource allocation process between the objects of a closed system. A mathematical model, formalized
the basic indicators and marked limitation in the system. A mathematical model of the visual
arrangement of elements in the system. The technological aspects of application of data visualization
and especially the perception of the person making the decision in graphical form. Build an information
model of the system, allowing to link the original set of resources to specific system objects, taking
into account the qualitative characteristics. The main actions performed by users: enter (imports)
the initial data load and teachers, data editing, load distribution to teachers, the formation of the cards
in a predetermined pattern described in use case diagrams. Developed system of correspondence between
the qualitative characteristics of the resource and the object. Revealed features and technical
requirements for the developed information system. Static representation of the software is presented
in the form of a class diagram. dynamic model of the system is also designed in UML 2.0 notations.
Implemented software implementation of the designed system. User by dragging and dropping items
on the screen binds the current load to a specific teacher. Is a screen form of automated load-balancing
system. Conclusions about the feasibility of using the system.
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Software engineering |
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Software development technologies |
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The paper is about structure development of the fast BCH decoder (15, 7, 5) based on modified cyclic
decoding method. Cyclic decoding method based on iterative process of division by modulo 2 of
codeword by generator polynomial [21]. Decoder are presented in paper [2, 3] has low performance
and the main purpose of the paper is improving decoding speed using cyclic decoding method. For
the purpose it is necessary to perform tasks such as parallel computation of syndromes (remainder of
division of codeword by generator polynomial) and matrix algorithm of polynomial division implementation.
The principle of matrix algorithm is vector by matrix multiplication wherein codeword
acts as a vector, and matrix is pre-calculated matrix of predetermined lengths of the codewords and
generator polynomials. The codewords are generated in parallel for each shift and is sent to weights
computation block. The weight of codeword is computed for each codeword in parallel. The decoding
block receives weights, codewords and remainders and adds by modulo 2 codeword and remainder
the weight of which satisfied the condition weight <= t, where t is error count. Thus, proposed structure
of high-speed BCH code decoder, based on the modified cyclic method for decoding, can decode
for 1 – 2 clock cycles and improves performance to ~1182 times.
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The article describes implementation (hardware and software) of computing system in automatic
paradigm based on object-attribute (OA) computer system belonging to the class of dataflow machines.
OA-computer is the system of functional unit (FU) collaborating each other. FU is hardware of software
unit. The system named OA-automation emulate behavior of automation. It is discussion of necessary
FU types and FUs cooperation of OA-automation. It is discussion the developed implementation of different
classes of automata (deterministic, nondeterministic, abstract, structural), the implementation of
automatic decomposition (nested and called slot automata) and systems of concurrent automata. The
article involve describing developed formal models of automation decomposition. The implementation
of automatic paradigm on OA-basis widen field of application of OA-approach to computing system
organization by automatic control system, compiler, language semantics analysis system and etc.
The implementation of automation decomposition simplify development of complex automata system.
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This article discusses issues related to the databases for time series. Time series are widely used
in various applications. Accordingly, the theme of time series persistence is very important. The description
of time series persistence and processing from the perspective of the database is the subject
of this article. This paper deals with the use of traditional relational databases to store time series, as
well as solutions that are classified as NoSQL systems. Of course, under certain conditions, which are
discussed in this article, we can use traditional relational databases. Possible limitations are primarily
associated with the new data accumulation rate. In this connection, we discuss fractal trees as optimal
indexes for time series in relational databases. As the useful data processing tool, we describe
widow functions and other SQL extensions for time series processing. On the other hand, possible
limitations and peculiarities of processing time series lead to the need to use specialized systems for
storing time series. NoSQL solutions present a rich set of tools for time series processing. We discuss
data models (structured files, column-based databases) as well as data formats and network protocols
for time series. As a general result of our survey, it can be concluded that the choice of solutions for
time series databases is determined, primarily, by the rate of arrival of new data. From NoSQL solutions,
Cassandra is the preferred choice.
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Models and althorithms |
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The article shows algorithms to determine a position of directional element and compute lengths
of bases of the trapezoidal characteristic of automatics for elimination of asynchronous operation.
Computing of trapezoidal characteristic is the recurrent process, which is focused on determining of directional
element location, trapeze altitude, lengths of trapeze bases. Determining of initial position of
the directional element is based on modified edition of mass center method, and correcting of the slope
angle of directional element is based on split-half method. These algorithms and methods are implemented
as software. Basic data for the software is set of time values, reactance and resistance values,
which is a computing result of transient processes with asynchronous operations. Computational experiment
shows that correctly determined initial position of the directional element is important point
in the problem. If the slope angle of the directional element is a long way from optimal angle, we get
a time increment of the problem solving. The computerization of routine is allowed the electric-powered
modes specialist to cut problem solving time and to simplify decision making in choosing of the
best characteristic for automatics for elimination of asynchronous operation.
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The article deals with the possibilities of three-dimensional modeling in the modern light device design.
Light device’s optical system is used to distribute light. They have different construction, functionality,
light curve types, and calculation methods. Light distribution defines purpose and class of
light device. The optical calculation is based on tracing of light rays through light device’s optical
system model. The calculation quality depends on the number of emitted rays. It’s necessary to trace
(reflect, refract, absorb) each light ray over light device model. It is usually set by triangular meshes.
However usage of the large number of small triangles slows the calculation process. Thereby a new
optical system geometry model was developed. It allows to determine light device and provides fast
and high-precision calculation using combination of usual triangular mesh model and simple shapes,
i.e. planes, spheres, cones, torus, etc, or its parts. Also the algorithm to transform one model type to
another is described. It is based on heuristic analysis of sequential shape imposition and uses the support
vector machine. The developed model and algorithm can accelerate the calculation of complex
light device several times.
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Software and hardware |
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Cardiovascular system performs important functions in the human body. At the same time, according
to statistics of the World Health Organization the diseases of cardiovascular system hold the first
place in the world among reasons of death. In this regard, in medicine of critical states the development
of diagnostic methods of cardiovascular system functioning, including computer-supported technologies,
is very important. In studies presented in this paper, the device, including software for data
processing, is developed for tracking in a continuous mode of the cardiovascular system functioning
of person. The new approach is that the device monitors continuously the heart rhythms of a person
without his or her direct active targeted actions in this area. This eliminates the factors that depend on
the human subconscious and which may affect on the monitoring result. The device, if at some point
in time there are abnormalities in the cardiovascular system, informs the person about this. The system
does not put medically accurate diagnosis, but it is an instrument of early warning. Based on this
information the person has the ability to promptly seek medical attention. The prototype was developed
on the base of Arduino + Bluetooth HC-04. The interface was written in Microsoft Visual Studio
2010. Data analysis is carried out on a PC using MATLAB package.
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Simulation |
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Actor modeling |
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Decision making by the aircrafts services of the international airport, which provides for
intensive traffic of aircraft and their ground handling, becomes a very topical issue. If earlier it
was believed that the intensity is provided only by the number of runways, nowadays a large
accumulation of aircraft on the airport platform-field creates equally complex difficulties in
comparison with aircraft take-offs and landings. Solving such problems with the use of «crisp
methods» of queuing theory gives little. This article deals with modern «fuzzy methods» based
on simulation modeling and fuzzy logic.
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Laboratory |
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Models and Methods |
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Market volume forecasting is one of the most essential steps in new aircraft development determining
critical inputs for sales, manufacturing, finance, after sales support, etc. For aircraft industry
forecasting challenges are due to technical characteristics, long-lasting development process and life
cycles, that requires forecasting for 10 – 20 or more years. Authors’ experience proves the importance
of combined analytical and expert approach in aircraft market volume forecasting for both short and
long-term periods. Analytical method is demonstrated in the article. Aircraft market volume is equal to
the sum of fleet development forecast and removal from service forecast minus current fleet in terms of
the number of aircraft. Fleet development forecasting is executed using Singular Spectrum Analysis.
Removal from service forecasting is executed with use of Survivor Curve Analysis. Both Singular
Spectrum Analysis and Survivor Curve Analysis are shortly described in the article. Results of passenger
widebody airplane segment forecasting for 20 years is given as an example. To test the efficiency
of the proposed analytical method forecasting using historical data is executed which means shortening
the initial time series on 5, 10, 15 and 20 points and executing a forecast on the respective time
period. Test results demonstrate precise fit of the historical data and forecast for 5 and 10 years forecasting.
For 15 years forecasting is properly done in terms of numerical aspect but improper in terms
of qualitative aspect. To test validity of the forecasting for 20 years the results were compared with
Boeing Current Market Outlook 2015, the difference was less than 0.3%. Reckoning on the Boeing’s
data is due to the hypothesis of lack of the statistical data while forecasting for 20 years.
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Actual today is the development of mathematical models for simulation experiments to ensure the
country’s transition to sustainable development. The main indicators of national security, according to
Presidential Decree № 683 «National Security Strategy of the Russian Federation» are: satisfaction of citizen
of degree of protection of their constitutional rights and freedoms, personal and property interests,
including from criminal encroachments; the share of modern weapons, military and special equipment
in the Russian Armed Forces; the life expectancy; gross domestic product per capita; inflation; the share
of expenditure in the gross domestic product for culture, as well as the development of science, technology
and education; the part of the territory of the Russian Federation, that do not meet environmental
standards. Developed a complex of mathematical models for modeling and the prognostication indicators
of Russia’s national security. Mathematical model developed based on system dynamics models,
allows formalizing the complex casual relationships between system variables. System dynamics model
consists of the following elements: the system levels (the simulated variables), which represent the accumulation
of (accumulation) in feedback circuits; streams conveying the content of one level to another;
making procedures that govern the rate of flow between the levels; information channels connecting procedures
decisions levels. To describe the model developed using the apparatus of ordinary differential
equations. As systemic levels presented the indicators of national security. To illustrate the casual relationships
between system-level mathematical model developed using the graph model. Regression models
are used to verify the adequacy of system dynamics models. An algorithm is proposed for determining
of indicators of national security for solves the system of nonlinear differential equations. Shows the
practical implementation of the mathematical support developed and compared predictive values of indicators
of national security. Performed modeling of chaotic phenomena in the Russian economy in 1994.
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Teacher’s portfolio |
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Algorithmic efficiency |
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Optimization problems have received attention in different research areas. This article provides an
overview of the methods of searching for the global minimum. The paper presents a new algorithm for
solving one-dimensional function optimization problem. The algorithm employs random variables and
events. The algorithm generates two types of elements: search and exploration. The elements of the
first type strive to explore the unexplored areas. The probability of failing into each interval depends
on the distance between the points. The elements of the second type examine the areas where the objective
function takes the best value. The probability of failing into each interval depends on the objective
function value. The ratio of searching elements depends on the task. If we need to find all local
minima, it is better to use elements of the search. To obtain a more accurate solution, the number
of exploration elements is increased. Solution to two examples described. Results of computational
experiments comparing the presented algorithm with other known algorithms are presented. The result
showed that the solution could be found for a smaller number of steps compared with the simple
random search algorithm.
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